A Bicolano-to-Tagalog Transfer-Based Machine Translation System
Ria Ambrocio Sagum
Ria Ambrocio Sagum, Department of Computer Science, College of Computer and Information Sciences, Polytechnic University of the Philipines, Manila, Philippines.
Manuscript received on 21 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1324-1330 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B10620882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1062.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Bicolano-Tagalog Transfer-based Machine Translation System is a unidirectional machine translator for languages Bicolano and Tagalog. The transfer-based approach is divided into three phase: Pre-Processing Analysis, Morphological Transfer, and Sentence Generation. The system analyze first the source language (Bicolano) input to create some internal representation. This includes the tokenizer, stemmer, POS tag and parser. Through transfer rules, it then typically manipulates this internal representation to transfer parsed source language syntactic structure into target language syntactic structure. Finally, the system generates Tagalog sentence from own morphological and syntactic information. Each phase will undergo training and evaluation test for the competence of end-results. Overall performance shows a 71.71% accuracy rate.
Keywords: Machine Translation, Transfer-based, POS Tagging, Morphological Transfer, Language Model, Language Translation.
Scope of the Article: Machine Learning